Glycan-related Synthesis Pathway Generation Service
Explore Unlimited Possibilities with Glycan-related Synthesis Pathway Generation
CD BioGlyco provides reliable AI-assisted Glycan Drug Discovery services based on advanced algorithms and well-trained project teams. Due to the complexity of glycan structure and conformation, we provide high-level algorithms and large databases to elucidate glycan-related synthesis pathways. Through complex network strategies, we provide services to evaluate the association of signal-deficient glycan-related genes and diseases.
Rely on Deep Learning, our specialized computer team offers two synthesis pathway prediction services:
Forward reaction prediction
Our researchers efficiently construct models for generating synthetic pathways based on reactant information provided by our clients.
Retrosynthetic prediction
Our researchers predict the synthesis pathway of the final product based on the final product information provided by our clients. Our researchers utilize millions of pathways as a training set for deep neural networks (DNNs) used to provide models for synthetic pathway generation efficiency. Combining EgoNet, policy networks, and neural sequence models further optimizes the efficiency of predicting reverse synthetic pathways.
Publication
Technology: EgoNet algorithm, Fisher exact test, Pathway enrichment analysis, Permutation test
Journal: Brazilian Journal of Medical and Biological Research
Published: 2017
Results: In this study, the EgoNet algorithm and pathway enrichment analysis were utilized to analyze osteosarcoma (OS) ego modules and pathways one by one. The researchers applied EgoNet to analyze the modules and pathways and then found and identified five ego modules and five pathways. Importantly, the pathway of module 3 is closely related to glycosaminoglycan (GAG) synthesis. The addition of the next hexosamine after the formation of the tetrasaccharide continuum sequence is critical for the formation of different types of GAG. Different additions form protein barriers leading to cancer. The researchers also found that individual modules do not act alone and that two or more modules also work together to control functional networks.
Fig.1 Schematic diagram of ego modules. (Chen, et al., 2017)
Applications of Glycan-related Synthesis Pathway Generation
- Glycan-related synthesis pathway generation can be used for rapid synthesis and assembly of carbohydrates.
- Glycan-related synthesis pathway generation drives the synthesis of complex polysaccharides.
- Glycan-related synthesis pathway generation plays an important role in the analysis of genomic deletions and disease onset mechanisms.
Advantages of Us
- Our lab tailors our services to the characteristics of each carbohydrate, offering personalized solutions.
- The models we offer have been optimized countless times to ensure the best possible output.
- Our talented team has a strong background in glycoinformatics to help our clients quickly solve every need.
Frequently Asked Questions
- What are the steps in the EgoNet algorithm?
- Construction of protein-protein interaction networks (PPIN) based on expression databases
- Differential expression networks (DEN) from background PPINs
- Identification of self genes based on topological characterization of genes in a reweighted DEN
- Collecting ego modules using a module search for self-gene extensions
- What are the common synthetic pathway assessment metrics?
- The common synthetic pathway assessment metrics include novelty, accuracy, diversity, wholeness, coverage, efficiency, and credibility.
CD BioGlyco has a professional team to efficiently complete glycan-related drug discovery projects. Our researchers respond enthusiastically to our client's questions on the generation of glycan-related synthetic pathways. Please feel free to contact us.
Reference
- Chen, X.Y.; et al. Investigating ego modules and pathways in osteosarcoma by integrating the EgoNet algorithm and pathway analysis. Brazilian Journal of Medical and Biological Research. 2017, 50: e5793.
For research use only. Not intended for any diagnostic use.
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